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Paper Citation Record · LEDGER

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

As of 17 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 3 inbound Pith citation observations for arXiv:2411.11906.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.11906 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:22:43.593108Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:49:45.760338Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T06:07:22.476033Z

Reference resolution

77 of 77 outbound references displayed

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  • verified fuzzy52
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1f2d5cb-7f64-4ab3-8dde-268ce50fa44e · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation d7ae6d50-b231-4c99-8b6f-cbc7768f0e01 · outbound

This paper cites Ciaosr: Continuous implicit attention-in- attention network for arbitrary-scale image super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Ciaosr: Continuous implicit attention-in- attention network for arbitrary-scale image super-resolution

Reference 2

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Observation cc9461eb-eba7-49a9-a2d8-baa8a9168e3c · outbound

This paper cites Cas-cnn: A deep convolutional neural network for image compression artifact suppression.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Cas-cnn: A deep convolutional neural network for image compression artifact suppression

Reference 3

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Observation c7c96ed6-e565-4547-bd26-12bf55e449ed · outbound

This paper cites Real-world single image super-resolution: A brief review.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Real-world single image super-resolution: A brief review

Reference 4

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Source-reported events for the cited work

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Observation 6e3e0ac6-3e27-4ba0-bae0-adfce61571a8 · outbound

This paper cites Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method

Reference 5

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Observation 3d6a7452-d703-4c13-ace2-5bd973849820 · outbound

This paper cites ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

Reference 6

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Observation 4c0be92d-dfc9-4e96-9264-ef25674e4930 · outbound

This paper cites Cascaded local implicit transformer for arbitrary-scale super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Cascaded local implicit transformer for arbitrary-scale super-resolution

Reference 7

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Observation 9e83a1e4-f93f-4905-ad93-92aafb7840d7 · outbound

This paper cites Activating More Pixels in Image Super-Resolution Transformer.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Activating More Pixels in Image Super-Resolution Transformer

Reference 8

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Observation 5efa3fa1-d8ca-4097-8ed9-31d34d6b31b5 · outbound

This paper cites Learning contin- uous image representation with local implicit image function.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Learning contin- uous image representation with local implicit image function

Reference 9

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Observation 1342fb35-20a1-4834-91a6-54510b950e92 · outbound

This paper cites Learning contin- uous image representation with local implicit image function.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Learning contin- uous image representation with local implicit image function

Reference 10

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Observation ad044070-99a2-467b-9bfa-eb315bffcf22 · outbound

This paper cites Learning implicit fields for generative shape modeling.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Learning implicit fields for generative shape modeling

Reference 11

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Observation 9fd784f9-38ec-4fe1-a909-238c7aa44bcc · outbound

This paper cites Real-time 4k super-resolution of compressed avif images.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Real-time 4k super-resolution of compressed avif images

Reference 12

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Observation e43c8177-1cb1-4c69-aa54-af68317d2d23 · outbound

This paper cites Second-order attention network for single image super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Second-order attention network for single image super-resolution

Reference 13

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Observation 19e07511-082e-4707-bb53-7574e1324b0a · outbound

This paper cites QMambaBSR: Burst Image Super-Resolution with Query State Space Model.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model QMambaBSR: Burst Image Super-Resolution with Query State Space Model

Reference 14

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Observation dd237c45-414c-49cb-8ebb-d848073d39e3 · outbound

This paper cites Learning a deep convolutional network for image super- resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Learning a deep convolutional network for image super- resolution

Reference 15

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Observation 0bc1061f-8331-46f5-8cf3-d58775ae3dd9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

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Observation a45ae2fd-9c67-456b-95b0-6ffeb0e67a3f · outbound

This paper cites SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising

Reference 17

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Observation 9e6172f7-8f93-42c8-9e71-f1dc9ccf1283 · outbound

This paper cites Continuous optical zooming: A benchmark for arbitrary-scale image super-resolution in real world.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Continuous optical zooming: A benchmark for arbitrary-scale image super-resolution in real world

Reference 18

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Observation 5913a7f3-5343-459c-a562-683136ce2d1a · outbound

This paper cites Implicit Geometric Regularization for Learning Shapes.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Implicit Geometric Regularization for Learning Shapes

Reference 19

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Observation a6fa0dc9-f3a2-41d0-81ad-3d1479288d71 · outbound

This paper cites Super-resolution reconstruction of compressed video using transform-domain statistics.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Super-resolution reconstruction of compressed video using transform-domain statistics

Reference 20

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Observation 5fbcca85-ced3-44fe-80d7-bcfca6e12d76 · outbound

This paper cites MambaIR: A Simple Baseline for Image Restoration with State-Space Model.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model MambaIR: A Simple Baseline for Image Restoration with State-Space Model

Reference 21

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Observation a18f41b0-73d6-4ea4-8d7b-e4ed5a8ed409 · outbound

This paper cites Latent modulated function for computational optimal continuous image representation.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Latent modulated function for computational optimal continuous image representation

Reference 22

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Observation dd0df994-317d-468b-8331-daf821b044f4 · outbound

This paper cites Meta-sr: A magnification-arbitrary net- work for super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Meta-sr: A magnification-arbitrary net- work for super-resolution

Reference 23

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Observation af8df6d7-ba83-4d9b-8316-5493c516f5f0 · outbound

This paper cites Meta-sr: A magnification-arbitrary net- work for super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Meta-sr: A magnification-arbitrary net- work for super-resolution

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3e17f8d6-80ed-4bfd-b400-1ce92958f7af · outbound

This paper cites A new approach to linear filtering and prediction problems.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model A new approach to linear filtering and prediction problems

Reference 25

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Observation e8201fd5-3ae9-4174-a4d5-672c6d19ef09 · outbound

This paper cites Accurate image super-resolution using very deep convolutional net- works.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Accurate image super-resolution using very deep convolutional net- works

Reference 26

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Observation e35abe47-e34c-4b56-9c83-56e595d3b990 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Adam: A Method for Stochastic Optimization

Reference 27

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Observation f8f42ccd-2faa-49aa-affe-02318413ecee · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 28

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Observation 2c181cce-3399-465d-ba24-28885703110a · outbound

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$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Local texture estimator for implicit representation function

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bb3fa077-11de-49a4-9765-a7756e8df651 · outbound

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$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Local texture estimator for implicit representation function

Reference 30

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Observation 32987e22-6bd7-4900-9bfe-0dc14e5eb1d9 · outbound

This paper cites FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining

Reference 31

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Observation f0e008ca-a027-42ef-b907-b955cc3f1234 · outbound

This paper cites Ntire 2023 challenge on efficient super-resolution: Methods and results.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Ntire 2023 challenge on efficient super-resolution: Methods and results

Reference 32

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7534377b-f28c-4960-a643-ba8156b91bb8 · outbound

This paper cites Swinir: Image restoration using swin transformer.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Swinir: Image restoration using swin transformer

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5fc664f6-04f0-49ce-aaff-504e7409283b · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Enhanced deep residual networks for single image super-resolution

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5d422efc-58eb-4593-8e78-7d2048c33496 · outbound

This paper cites Non-Local Recurrent Network for Image Restoration.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Non-Local Recurrent Network for Image Restoration

Reference 35

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8103d2a6-1293-4b1a-8ddc-3fa19ffcbba9 · outbound

This paper cites Arbitrary-scale super- resolution via deep learning: A comprehensive survey.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Arbitrary-scale super- resolution via deep learning: A comprehensive survey

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 95e7a908-20f3-4a8d-a6a9-c60c16ee2ede · outbound

This paper cites Image super- resolution with non-local sparse attention.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Image super- resolution with non-local sparse attention

Reference 37

Resolution
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d9969f64-c227-46d1-9aa5-3ad8e08f9094 · outbound

This paper cites Implicit sur- face representations as layers in neural networks.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Implicit sur- face representations as layers in neural networks

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 59812ddf-5c3e-4d59-81ec-9488ad09ecee · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 39

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Observation d43ef097-7546-45e6-91b2-dd732cab102a · outbound

This paper cites Single image super-resolution via a holistic attention network.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Single image super-resolution via a holistic attention network

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9d2233e0-2e86-46f8-9d83-6da9f5d3c787 · outbound

This paper cites SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series

Reference 41

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Unavailable: canonical work link unavailable.

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Observation 2cad03df-d6b9-4659-bdc9-1af20dd9b07b · outbound

This paper cites Cumulative rain density sensing network for single image derain.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Cumulative rain density sensing network for single image derain

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 84abfa42-9991-4b8c-babb-85df4befdea8 · outbound

This paper cites Ensemble single image deraining network via progres- sive structural boosting constraints.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Ensemble single image deraining network via progres- sive structural boosting constraints

Reference 43

Resolution
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raw_fallback, observed 2026-08-12T19:22:44.353289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 22780a54-6663-4f38-bef3-615cbf166817 · outbound

This paper cites Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

Reference 44

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Source-reported events for the cited work

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Observation 34dc5d89-1028-40ef-9cbf-8048bab3269d · outbound

This paper cites Lightweight adaptive feature de-drifting for compressed im- age classification.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Lightweight adaptive feature de-drifting for compressed im- age classification

Reference 45

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 36345601-7189-40ac-bd9c-2dbc1520e21b · outbound

This paper cites Towards Realistic Data Generation for Real-World Super-Resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Towards Realistic Data Generation for Real-World Super-Resolution

Reference 46

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no resolver link, observed 2026-08-12T19:22:43.463910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4779058b-f47f-4e9d-b3b2-b5ec631ad465 · outbound

This paper cites VL-Mamba: Exploring State Space Models for Multimodal Learning.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model VL-Mamba: Exploring State Space Models for Multimodal Learning

Reference 47

Resolution
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no resolver link, observed 2026-08-12T19:22:43.467765Z

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Unavailable: canonical work link unavailable.

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Observation 0d607e70-58de-4035-9546-37e266ea09e9 · outbound

This paper cites The ninth ntire 2024 efficient super- resolution challenge report.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model The ninth ntire 2024 efficient super- resolution challenge report

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9cbc699d-4fd6-4534-b3b7-b4fcce8516c1 · outbound

This paper cites Cardiac image super- resolution with global correspondence using multi-atlas patch- match.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Cardiac image super- resolution with global correspondence using multi-atlas patch- match

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0b2d5583-16a5-47ba-a8c0-7352db070f38 · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 72843758-75b7-4042-aa31-d2eb90402007 · outbound

This paper cites Scene representation networks: Continuous 3d-structure- aware neural scene representations.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Scene representation networks: Continuous 3d-structure- aware neural scene representations

Reference 51

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 44071b7c-d8c2-4004-912b-f6a3b62aad9b · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Implicit neural representa- tions with periodic activation functions

Reference 52

Resolution
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raw_fallback, observed 2026-08-12T19:22:44.266518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f5fbf9e2-7d9b-4aa1-b240-bc9b02329754 · outbound

This paper cites Three-dimensional imaging for creating real-world-like environments.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Three-dimensional imaging for creating real-world-like environments

Reference 53

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 44f8462c-2137-4801-8507-7dfa8abd15fb · outbound

This paper cites Vmrnn: Integrating vision mamba and lstm for efficient and accurate spatiotemporal forecasting.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Vmrnn: Integrating vision mamba and lstm for efficient and accurate spatiotemporal forecasting

Reference 54

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bcc6d3e8-363f-490f-8f70-c451a19d1b5c · outbound

This paper cites Brightness perceiving for recursive low- light image enhancement.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Brightness perceiving for recursive low- light image enhancement

Reference 55

Resolution
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raw_fallback, observed 2026-08-12T19:22:44.216800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.498067Z digest=sha256:b811b195396ba2a67f12e6875e0e9bdfa5360ee15e37ac4182ee27a0881e90d0

Observation 92a7cb45-ce0b-49fd-b1d1-2d9463bdcf03 · outbound

This paper cites Esrgan: En- hanced super-resolution generative adversarial networks.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Esrgan: En- hanced super-resolution generative adversarial networks

Reference 56

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raw_fallback, observed 2026-08-12T19:22:44.201278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.502475Z digest=sha256:a492753f7fb2510601f45a3431ba42a60f8ff5c7adae31e8d0b729d2b184e440

Observation b33f4fc5-8f42-47ef-b2be-77db0be8f929 · outbound

This paper cites Decoupling-and-aggregating for image exposure correction.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Decoupling-and-aggregating for image exposure correction

Reference 57

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raw_fallback, observed 2026-08-12T19:22:44.185905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.506683Z digest=sha256:340214053acdb18943272908d6dd198ba48891a82b5fc117f95115ec37372a7e

Observation d334ea5c-4f92-4c69-b68e-d842455ebac5 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Image quality assessment: from error visibility to structural similarity

Reference 58

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no resolver link, observed 2026-08-12T19:22:43.511811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:22:43.511811Z digest=sha256:61638f513a74574528344a57ded7d9c6e2bc04d2d6e83c36c3e5bfaf8cab01df

Observation e881472f-12a5-4710-87a6-61ca82059542 · outbound

This paper cites Deep learning for image super-resolution: A survey.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Deep learning for image super-resolution: A survey

Reference 59

Resolution
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raw_fallback, observed 2026-08-12T19:22:44.160703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.516358Z digest=sha256:218c19e39fcdd0b4e83af9baa9e5e72f6f6811757ccee39a9fc5b086c26073e9

Observation f42d9ac4-3da8-452f-9ddb-5029de8fee14 · outbound

This paper cites Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:22:43.521064Z digest=sha256:a9d59ecbab22b2e05b70c95bb50bdf9bb1dbc4a46712660c87d4eb326e05617c

Observation 3a6966f4-773c-4a91-81bd-201927d0ea4e · outbound

This paper cites Super-resolution neural opera- tor.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Super-resolution neural opera- tor

Reference 61

Resolution
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raw_fallback, observed 2026-08-12T19:22:44.145981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.525590Z digest=sha256:defcfe2886636b13fa833462974a42cee021da99f090c1d7b0d08db3b13ca09d

Observation afcef81d-65c2-4a62-8cf6-399b8b8623ce · outbound

This paper cites Rethinking image deraining via text-guided detail reconstruction.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Rethinking image deraining via text-guided detail reconstruction

Reference 62

Resolution
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raw_fallback, observed 2026-08-12T19:22:44.131056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.530019Z digest=sha256:589fe9ad9ff03198c7d1bf73fb17d511b257ba2ab00dfb7b3166f41aa76b9a18

Observation a0570b5a-7474-4c82-8b2c-d99229f7f262 · outbound

This paper cites MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration

Reference 63

Resolution
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no resolver link, observed 2026-08-12T19:22:43.534388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:22:43.534388Z digest=sha256:b49256842edf3e4091295193aa5ab7fa2dde744ec04ad45492c0cba28f1c55e3

Observation 550d1601-7429-404b-89a5-61c40fd81b47 · outbound

This paper cites Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution

Reference 64

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verified exact
local_arxiv, observed 2026-08-12T19:22:43.685085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4087c831-830f-4e06-b4e3-4b326c3f6913 · outbound

This paper cites UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution

Reference 65

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unresolved
no resolver link, observed 2026-08-12T19:22:43.543716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:22:43.543716Z digest=sha256:0d6d3a3446b07a4a3f624f19ec376974ff1e01ba9656aebe9fb3f35e768d308d

Observation b62e5f41-6f54-4276-896a-36d86dc8eb85 · outbound

This paper cites Mambasr: Arbitrary-scale super-resolution integrating mamba with fast fourier convolution blocks.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Mambasr: Arbitrary-scale super-resolution integrating mamba with fast fourier convolution blocks

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:44.116338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.548285Z digest=sha256:58d40f816e53f4b2fa5f76355f2bd3bd404acac2d698282cc711253ed8cbad22

Observation 14d590ae-04a0-41b3-9e3d-6791bc2c7bbb · outbound

This paper cites Implicit transformer network for screen content image continuous super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Implicit transformer network for screen content image continuous super-resolution

Reference 67

Resolution
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raw_fallback, observed 2026-08-12T19:22:44.102118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.552765Z digest=sha256:9d80031197559f0eecca677c9ee8fa592bd5582772eb27ef41d63fecde9ea2b9

Observation 831d6abc-b52a-4ff9-9beb-a0737f0998fa · outbound

This paper cites Local implicit normalizing flow for arbitrary-scale image super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Local implicit normalizing flow for arbitrary-scale image super-resolution

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:44.086649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.557590Z digest=sha256:7910e2e86e7ec1a03a9a0d4d210d50290ca69fcf3dd90ccc1f9501211eb5233e

Observation 7d18a7ac-d91c-46b4-b046-1fae2a8d0c77 · outbound

This paper cites Structure-preserving deraining with residue channel prior guidance.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Structure-preserving deraining with residue channel prior guidance

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:44.069424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.561916Z digest=sha256:2a3a42fa56ec8f284c6aad97281309528725f5437b8bd16abf87febccde96d91

Observation 13b76f37-f559-47e5-ac81-96d36dddeb66 · outbound

This paper cites Efficient and accurate multi-scale topological network for single image dehazing.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Efficient and accurate multi-scale topological network for single image dehazing

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:44.052652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.566106Z digest=sha256:1abee3192e090aea1bd9b2c93ad628dfaf54f6694c91f267c19f6d1936239422

Observation 5f3a1db5-5970-457d-ae49-e4aeec529d08 · outbound

This paper cites Plug-and-play image restora- tion with deep denoiser prior.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Plug-and-play image restora- tion with deep denoiser prior

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:44.035978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.569787Z digest=sha256:2efe0386d0025210412a8c0551de8a2ea88ecf8f20b87a1ebb2ceee68742d5b4

Observation 2d9b6235-dde7-4b12-8c2d-9555a0be15d6 · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Image super-resolution using very deep residual channel attention networks

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:44.020921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.573429Z digest=sha256:d81453b17ded6862b18dfce9495b45ce4c823714756ad1af0ad9ea1fb8024394

Observation 19b7c184-67fc-4651-93b3-5d5d72925138 · outbound

This paper cites Residual dense network for image super-resolution.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Residual dense network for image super-resolution

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:44.006295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.577209Z digest=sha256:3ecdd26c4ae46b42fad8d1fbf42f46f4d561a40cd0c71c653191ab577d4ed7e7

Observation 39ccaa83-48f5-471d-9a2d-acc6f6646fbf · outbound

This paper cites Residual dense network for image restoration.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Residual dense network for image restoration

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:43.991769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.581094Z digest=sha256:f746668401d0f1d4860b7001781a3da0a1784d858fb83d2e3b69bdfcbce0ec19

Observation 8b0e9050-ab97-47fa-bc33-4d3f5f745a90 · outbound

This paper cites FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-12T19:22:43.584769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:22:43.584769Z digest=sha256:bdee0ffc176b20653b6f2099d884a226cb38b9f9b75a7ddad7e58847feeaccdd

Observation e0711faf-79e8-4b5e-b2b6-a693a204db4f · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-12T19:22:43.589101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:22:43.589101Z digest=sha256:9964b8af6b467e714d9a7ded53a8c3605ea921787034b12b1b5f09f80c6a3a39

Observation 8fc7799d-93cf-41b0-b6db-ec520e4f1f56 · outbound

This paper cites Very low resolution face recognition problem.

$\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model Very low resolution face recognition problem

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:22:43.977498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:22:43.593108Z digest=sha256:1506a0a7b5d0218a8a8950194a398b138675b6bf883cb1b0ca95f0595be8cf1f

Pith citing papers

Observation 5541c3d2-c56d-4c05-abf1-269653eeb0b8 · inbound

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results cites this paper.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results $\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T11:49:45.760338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:49:45.760338Z digest=sha256:b1a5a4cd55d2154838e69b7ab51004c33e9d846bf651c5749e6de1cc21f14f3f

Observation 15fd3e60-8769-454d-b2b9-40310efe0622 · inbound

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment cites this paper.

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment $\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Reference 143

Resolution
unresolved
no resolver link, observed 2026-08-06T05:31:24.860261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:31:24.860261Z digest=sha256:1bcd07aad83dcc0e301cfc76ecff63def407acabb3f826a6b8268d7e19711b40

Observation f1dbf16c-e807-4d5d-86fa-660f679a662f · inbound

Interactive State Space Model with Cross-Modal Local Scanning for Depth Super-Resolution cites this paper.

Interactive State Space Model with Cross-Modal Local Scanning for Depth Super-Resolution $\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:22.477677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T06:02:47.343228Z digest=sha256:ce3a0996c88a915c8fa84cb57c52788f468d9c1c59c21c60bdb1b88c07ebe8e0